class_docstr: Tests correctness of the power transformation.
code: def testBijectiveAndFinite(self):
      bijector = power_transform.PowerTransform(
          power=0.2, validate_args=True
      )
      x = np.linspace(-4.999, 10, num=10).astype(np.float32)
      y = np.logspace(0.001, 10, num=10).astype(np.float32)
      bijector_test_util.assert_bijective_and_finite(
          bijector,
          x,
          y,
          eval_func=self.evaluate,
          event_ndims=0,
          rtol=1e-3,
      )
  
file_path: probability/tensorflow_probability/python/bijectors/power_transform_test.py
imports: import numpy
  from tensorflow_probability.python.bijectors import bijector_test_util
  from tensorflow_probability.python.bijectors import power_transform
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 3 for calling the PowerTransformBijectorTest obj's underlying member method code with example usage: obj.testBijectiveAndFinite() without return types